


from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available, is_vision_available


_snake_case	:						List[Any]         =							{
    '''configuration_mobilenet_v2''': [
        '''MOBILENET_V2_PRETRAINED_CONFIG_ARCHIVE_MAP''',
        '''MobileNetV2Config''',
        '''MobileNetV2OnnxConfig''',
    ],
}

try:
			if not is_vision_available():
						raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
			pass
else:
			_snake_case	:						Any         =							['''MobileNetV2FeatureExtractor''']
			_snake_case	:						Union[str, Any]         =							['''MobileNetV2ImageProcessor''']


try:
			if not is_torch_available():
						raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
			pass
else:
			_snake_case	:						Any         =							[
			    '''MOBILENET_V2_PRETRAINED_MODEL_ARCHIVE_LIST''',
			    '''MobileNetV2ForImageClassification''',
			    '''MobileNetV2ForSemanticSegmentation''',
			    '''MobileNetV2Model''',
			    '''MobileNetV2PreTrainedModel''',
			    '''load_tf_weights_in_mobilenet_v2''',
			]


if TYPE_CHECKING:
			from .configuration_mobilenet_va import (
			    MOBILENET_V2_PRETRAINED_CONFIG_ARCHIVE_MAP,
			    MobileNetVaConfig,
			    MobileNetVaOnnxConfig,
			)

			try:
						if not is_vision_available():
									raise OptionalDependencyNotAvailable()
			except OptionalDependencyNotAvailable:
						pass
			else:
						from .feature_extraction_mobilenet_va import MobileNetVaFeatureExtractor
						from .image_processing_mobilenet_va import MobileNetVaImageProcessor

			try:
						if not is_torch_available():
									raise OptionalDependencyNotAvailable()
			except OptionalDependencyNotAvailable:
						pass
			else:
						from .modeling_mobilenet_va import (
						    MOBILENET_V2_PRETRAINED_MODEL_ARCHIVE_LIST,
						    MobileNetVaForImageClassification,
						    MobileNetVaForSemanticSegmentation,
						    MobileNetVaModel,
						    MobileNetVaPreTrainedModel,
						    load_tf_weights_in_mobilenet_va,
						)


else:
			import sys

			_snake_case	:						str         =							_LazyModule(__name__, globals()["__file__"], _import_structure, module_spec=__spec__)



"""simple docstring"""



def 			_UpperCamelCase						(    _A = 1_0_0_0   )     ->	int:





    """simple docstring"""

    _UpperCAmelCase     ,_UpperCAmelCase        = 1, 1
    _UpperCAmelCase        = 2
    while True:
        _UpperCAmelCase        = 0
        _UpperCAmelCase        = fa + fa
        _UpperCAmelCase     ,_UpperCAmelCase        = fa, f
        index += 1
        for _ in str(_A   ):
            i += 1
        if i == n:
            break
    return index


if __name__ == "__main__":
 print(solution(int(str(input()).strip())))